Opml 20 Dlspec A Deep Learning Task Exchange Specification

(PDF) DLSpec: A Deep Learning Task Exchange Specification

(PDF) DLSpec: A Deep Learning Task Exchange Specification To address this prob lem, we propose dlspec, a model , dataset , software , and hardware agnostic dl specification that captures the different aspects of dl tasks. dlspec has been tested by specifying and running hundreds of dl tasks. To address this problem, we propose dlspec, a model , dataset , software , and hardware agnostic dl specification that captures the different aspects of dl tasks. dlspec has been tested by specifying and running hundreds of dl tasks.

DLSpec: A Deep Learning Task Exchange Specification

DLSpec: A Deep Learning Task Exchange Specification We propose dlspec, a dl artifact exchange specification with clearly defined model, data, software, and hardware as pects. dlspec’s design is based on a few key principles (sec tion 2). dlspec is model , dataset , software , and hardware agnostic and aims to work with runtimes built using existing mlop tools. we further develop a dlspec runtime to sup port dlspec’s use for dl inference. Dlspec: a deep learning task exchange specificationabdul dakkak and cheng li, university of illinois at urbana champaign; jinjun xiong, ibm; wen mei hwu, uni. 02/26/20 deep learning (dl) innovations are being introduced at a rapid pace. however, the current lack of standard specification of dl tas. Deep learning (dl) innovations are being introduced at a rapid pace. however, the current lack of standard specification of dl tasks makes sharing, running, reproducing, and comparing these innovations difficult.

OpTorch Optimized Deep Learning Architectures For | PDF | Artificial Neural Network | Deep Learning

OpTorch Optimized Deep Learning Architectures For | PDF | Artificial Neural Network | Deep Learning 02/26/20 deep learning (dl) innovations are being introduced at a rapid pace. however, the current lack of standard specification of dl tas. Deep learning (dl) innovations are being introduced at a rapid pace. however, the current lack of standard specification of dl tasks makes sharing, running, reproducing, and comparing these innovations difficult. Current lack of standard specification of dl tasks makes sharing, running, reproducing, and comparing dl innovations difficult. Deep learning (dl) innovations are being introduced at a rapid pace. however, the current lack of standard specification of dl tasks makes sharing, running, reproducing, and comparing. Dlspec: a deep learning task exchange specificationabdul dakkak and cheng li, university of illinois at urbana champaign; jinjun xiong, ibm; wen mei hwu, uni. Deep learning (dl) innovations are being introduced at a rapid pace. however, the current lack of standard specification of dl tasks makes sharing, running, reproducing, and comparing these innovations difficult. to address this problem, we propose dlspec, a model , dataset , software , and hardware agnostic dl specification that captures the different aspects of dl tasks. dlspec has been.

OpML '20 - DLSpec: A Deep Learning Task Exchange Specification